메뉴 건너뛰기




Volumn 33, Issue 1, 2009, Pages 67-84

Mumford-shah regularizer with contextual feedback

Author keywords

Disambiguation in low level vision; Feature preserving diffusion; Structure preserving diffusion; Variational and PDE methods

Indexed keywords

AIRCRAFT ENGINES; CONTROL THEORY; FEEDBACK; MODULATION; OBJECT RECOGNITION; PARTIAL DIFFERENTIAL EQUATIONS;

EID: 58149507724     PISSN: 09249907     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10851-008-0109-y     Document Type: Article
Times cited : (22)

References (86)
  • 2
    • 34548224721 scopus 로고    scopus 로고
    • Texture-oriented anisotropic filtering and geodesic active contours in breast tumor ultrasound segmentation
    • 1
    • M. Aleman-Flores L. Alvarez V. Caselles 2007 Texture-oriented anisotropic filtering and geodesic active contours in breast tumor ultrasound segmentation J. Math. Imaging Vis. 28 1 81 97
    • (2007) J. Math. Imaging Vis. , vol.28 , pp. 81-97
    • Aleman-Flores, M.1    Alvarez, L.2    Caselles, V.3
  • 4
    • 34748925841 scopus 로고
    • On the approximation of functionals depending on jumps by elliptic functionals via Γ-convergence
    • 8
    • L. Ambrosio V. Tortorelli 1990 On the approximation of functionals depending on jumps by elliptic functionals via Γ-convergence Commun. Pure Appl. Math. 43 8 999 1036
    • (1990) Commun. Pure Appl. Math. , vol.43 , pp. 999-1036
    • Ambrosio, L.1    Tortorelli, V.2
  • 5
    • 33745898837 scopus 로고    scopus 로고
    • An axis-based representation for recognition
    • Aslan, C., Tari, S.: An axis-based representation for recognition. In: ICCV, vol. 2, pp. 1339-1346 (2005)
    • (2005) ICCV , vol.2 , pp. 1339-1346
    • Aslan, C.1    Tari, S.2
  • 6
    • 14844355103 scopus 로고    scopus 로고
    • Image decomposition into a bounded variation component and an oscillating component
    • 1
    • J.-F. Aujol G. Aubert A. Chambolle 2005 Image decomposition into a bounded variation component and an oscillating component J. Math. Imaging Vis. 22 1 71 88
    • (2005) J. Math. Imaging Vis. , vol.22 , pp. 71-88
    • Aujol, J.-F.1    Aubert, G.2    Chambolle, A.3
  • 7
    • 33746391916 scopus 로고    scopus 로고
    • Image deblurring in the presence of impulsive noise
    • 3
    • L. Bar N. Kiryati N. Sochen 2006 Image deblurring in the presence of impulsive noise Int. J. Comput. Vis. 70 3 279 298
    • (2006) Int. J. Comput. Vis. , vol.70 , pp. 279-298
    • Bar, L.1    Kiryati, N.2    Sochen, N.3
  • 8
    • 24644481115 scopus 로고    scopus 로고
    • Image deblurring in the presence of salt-and-pepper noise
    • Bar, L., Sochen, N., Kiryati, N.: Image deblurring in the presence of salt-and-pepper noise. In: Scale-Space, pp. 107-118 (2005)
    • (2005) Scale-space , pp. 107-118
    • Bar, L.1    Sochen, N.2    Kiryati, N.3
  • 9
    • 3543006596 scopus 로고    scopus 로고
    • Visual objects in context
    • M. Bar 2004 Visual objects in context Nat. Rev. Neurosci. 5 617 629
    • (2004) Nat. Rev. Neurosci. , vol.5 , pp. 617-629
    • Bar, M.1
  • 10
    • 4344700748 scopus 로고    scopus 로고
    • Disambiguating visual motion through contextual feedback modulation
    • P. Bayerl H. Neumann 2004 Disambiguating visual motion through contextual feedback modulation Neural Comput. 16 2041 2066
    • (2004) Neural Comput. , vol.16 , pp. 2041-2066
    • Bayerl, P.1    Neumann, H.2
  • 11
    • 0030194054 scopus 로고    scopus 로고
    • On the unification of line processes, outlier rejection, and robust statistics with applications in early vision
    • 1
    • M.J. Black A. Rangarajan 1996 On the unification of line processes, outlier rejection, and robust statistics with applications in early vision Int. J. Comput. Vis. 19 1 57 91
    • (1996) Int. J. Comput. Vis. , vol.19 , pp. 57-91
    • Black, M.J.1    Rangarajan, A.2
  • 12
    • 84948150916 scopus 로고    scopus 로고
    • Edges as outliers: Anisotropic smoothing using local image statistics
    • Black, M.J., Sapiro, G.: Edges as outliers: anisotropic smoothing using local image statistics. In: Scale-Space, pp. 259-270 (1999)
    • (1999) Scale-space , pp. 259-270
    • Black, M.J.1    Sapiro, G.2
  • 16
    • 0037403648 scopus 로고    scopus 로고
    • Variational restoration and edge detection for color images
    • 3
    • A. Brook R. Kimmel N.A. Sochen 2003 Variational restoration and edge detection for color images J. Math. Imaging Vis. 18 3 247 268
    • (2003) J. Math. Imaging Vis. , vol.18 , pp. 247-268
    • Brook, A.1    Kimmel, R.2    Sochen, N.A.3
  • 17
    • 18844364899 scopus 로고    scopus 로고
    • High accuracy optical flow estimation based on a theory for warping
    • Brox, T., Bruhn, A., Papenberg, N., Weickert, J.: High accuracy optical flow estimation based on a theory for warping. In: ECCV, vol. 4, pp. 25-36 (2004)
    • (2004) ECCV , vol.4 , pp. 25-36
    • Brox, T.1    Bruhn, A.2    Papenberg, N.3    Weickert, J.4
  • 18
    • 37249060838 scopus 로고    scopus 로고
    • On the statistical interpretation of the piecewise smooth Mumford-Shah functional
    • Brox, T., Cremers, D.: On the statistical interpretation of the piecewise smooth Mumford-Shah functional. In: SSVM, pp. 203-213 (2007)
    • (2007) SSVM , pp. 203-213
    • Brox, T.1    Cremers, D.2
  • 19
    • 33748605303 scopus 로고    scopus 로고
    • A TV flow based local scale estimate and its application to texture discrimination
    • 5
    • T. Brox J. Weickert 2006 A TV flow based local scale estimate and its application to texture discrimination J. Vis. Commun. Image Represent. 17 5 1053 1073
    • (2006) J. Vis. Commun. Image Represent. , vol.17 , pp. 1053-1073
    • Brox, T.1    Weickert, J.2
  • 20
    • 24644478715 scopus 로고    scopus 로고
    • A non-local algorithm for image denoising
    • Buades, A., Coll, B., Morel, J.-M.: A non-local algorithm for image denoising. In: CVPR, vol. 2, pp. 60-65 (2005)
    • (2005) CVPR , vol.2 , pp. 60-65
    • Buades, A.1    Coll, B.2    Morel, J.-M.3
  • 23
    • 27744554422 scopus 로고    scopus 로고
    • Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
    • 10
    • R.H. Chan C.-W. Ho M. Nikolova 2005 Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization IEEE Trans. Image Process. 14 10 1479 1485
    • (2005) IEEE Trans. Image Process. , vol.14 , pp. 1479-1485
    • Chan, R.H.1    Ho, C.-W.2    Nikolova, M.3
  • 24
    • 37249062275 scopus 로고    scopus 로고
    • Histogram based segmentation using Wasserstein distances
    • Chan, T., Esedoglu, S., Ni, K.: Histogram based segmentation using Wasserstein distances. In: SSVM, pp. 697-708 (2007)
    • (2007) SSVM , pp. 697-708
    • Chan, T.1    Esedoglu, S.2    Ni, K.3
  • 26
    • 37249086810 scopus 로고    scopus 로고
    • A variational method with a noise detector for impulse noise removal
    • Chen, S., Yang, X.: A variational method with a noise detector for impulse noise removal. In: SSVM, pp. 442-450 (2007)
    • (2007) SSVM , pp. 442-450
    • Chen, S.1    Yang, X.2
  • 28
    • 0036892825 scopus 로고    scopus 로고
    • Diffusion snakes: Introducing statistical shape knowledge into the Mumford-Shah functional
    • 3
    • D. Cremers F. Tischhäuser J. Weickert C. Schnörr 2002 Diffusion snakes: introducing statistical shape knowledge into the Mumford-Shah functional Int. J. Comput. Vis. 50 3 295 313
    • (2002) Int. J. Comput. Vis. , vol.50 , pp. 295-313
    • Cremers, D.1    Tischhäuser, F.2    Weickert, J.3    Schnörr, C.4
  • 29
    • 33845482689 scopus 로고    scopus 로고
    • Image restoration with discrete constrained total variation, part I: Fast and exact optimization
    • 3
    • J. Darbon M. Sigelle 2006 Image restoration with discrete constrained total variation, part I: fast and exact optimization J. Math. Imaging Vis. 26 3 261 276
    • (2006) J. Math. Imaging Vis. , vol.26 , pp. 261-276
    • Darbon, J.1    Sigelle, M.2
  • 30
    • 33845478943 scopus 로고    scopus 로고
    • Image restoration with discrete constrained total variation, part II: Levelable functions, convex priors and non-convex cases
    • 3
    • J. Darbon M. Sigelle 2006 Image restoration with discrete constrained total variation, part II: levelable functions, convex priors and non-convex cases J. Math. Imaging Vis. 26 3 277 291
    • (2006) J. Math. Imaging Vis. , vol.26 , pp. 277-291
    • Darbon, J.1    Sigelle, M.2
  • 31
    • 33749550887 scopus 로고    scopus 로고
    • General adaptive neighborhood image processing: Part i
    • J. Debayle J.C. Pinoli 2006 General adaptive neighborhood image processing: part I J. Math. Imaging Vis. 25 245 266
    • (2006) J. Math. Imaging Vis. , vol.25 , pp. 245-266
    • Debayle, J.1    Pinoli, J.C.2
  • 32
    • 0032306252 scopus 로고    scopus 로고
    • Symbol mapping and context filtering for lossless image compression
    • Deng, G.: Symbol mapping and context filtering for lossless image compression. In: ICIP, vol. 1, pp. 526-529 (1998)
    • (1998) ICIP , vol.1 , pp. 526-529
    • Deng, G.1
  • 35
    • 33646568113 scopus 로고    scopus 로고
    • Edge strength functions as shape priors in image segmentation
    • Erdem, E., Erdem, A., Tari, S.: Edge strength functions as shape priors in image segmentation. In: EMMCVPR, pp. 490-502 (2005)
    • (2005) EMMCVPR , pp. 490-502
    • Erdem, E.1    Erdem, A.2    Tari, S.3
  • 36
    • 37249046583 scopus 로고    scopus 로고
    • Mumford-Shah regularizer with spatial coherence
    • Erdem, E., Sancar Yilmaz, A., Tari, S.: Mumford-Shah regularizer with spatial coherence. In: SSVM, pp. 545-555 (2007)
    • (2007) SSVM , pp. 545-555
    • Erdem, E.1    Sancar Yilmaz, A.2    Tari, S.3
  • 37
    • 0036672270 scopus 로고    scopus 로고
    • Digital image inpainting by the Mumford-Shah-Euler image model
    • S. Esedoglu J. Shen 2002 Digital image inpainting by the Mumford-Shah-Euler image model Eur. J. Appl. Math. 13 353 370
    • (2002) Eur. J. Appl. Math. , vol.13 , pp. 353-370
    • Esedoglu, S.1    Shen, J.2
  • 39
    • 0344982828 scopus 로고    scopus 로고
    • Texture segmentation by multiscale aggregation of filter responses and shape elements
    • Galun, M., Sharon, E., Basri, R., Brandt, A.: Texture segmentation by multiscale aggregation of filter responses and shape elements. In: ICCV, vol. 1, pp. 716-723 (2003)
    • (2003) ICCV , vol.1 , pp. 716-723
    • Galun, M.1    Sharon, E.2    Basri, R.3    Brandt, A.4
  • 40
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • S. Geman D. Geman 1984 Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images IEEE Trans. Pattern Anal. Mach. Intell. 6 721 639
    • (1984) IEEE Trans. Pattern Anal. Mach. Intell. , vol.6 , pp. 721-639
    • Geman, S.1    Geman, D.2
  • 41
    • 58149480054 scopus 로고    scopus 로고
    • Nonlocal convex functionals for image regularization
    • Gilboa, G., Darbon, J., Osher, S., Chan, T.: Nonlocal convex functionals for image regularization. UCLA CAM-report 06-57 (2006)
    • (2006) UCLA CAM-report , vol.6 , Issue.57
    • Gilboa, G.1    Darbon, J.2    Osher, S.3    Chan, T.4
  • 42
    • 33746217159 scopus 로고    scopus 로고
    • Variational denoising of partly textured images by spatially varying constraints
    • 8
    • G. Gilboa N. Sochen Y.Y. Zeevi 2006 Variational denoising of partly textured images by spatially varying constraints IEEE Trans. Image Process. 15 8 2281 2289
    • (2006) IEEE Trans. Image Process. , vol.15 , pp. 2281-2289
    • Gilboa, G.1    Sochen, N.2    Zeevi, Y.Y.3
  • 43
    • 0024144450 scopus 로고
    • Context dependent edge detection
    • Haralick, R.M., Lee, J.S.J.: Context dependent edge detection. In: CVPR, pp. 223-228 (1988)
    • (1988) CVPR , pp. 223-228
    • Haralick, R.M.1    Lee, J.S.J.2
  • 44
    • 14844354353 scopus 로고    scopus 로고
    • Natural image statistics for natural image segmentation
    • 1
    • M. Heiler C. Schnörr 2005 Natural image statistics for natural image segmentation Int. J. Comput. Vis. 63 1 5 19
    • (2005) Int. J. Comput. Vis. , vol.63 , pp. 5-19
    • Heiler, M.1    Schnörr, C.2
  • 45
    • 0031378604 scopus 로고    scopus 로고
    • An optimization approach to unsupervised hierarchical texture segmentation
    • Hofmann, T., Puzicha, J., Buhmann, J.M.: An optimization approach to unsupervised hierarchical texture segmentation. In: ICIP, vol. 3, pp. 213-216 (1997)
    • (1997) ICIP , vol.3 , pp. 213-216
    • Hofmann, T.1    Puzicha, J.2    Buhmann, J.M.3
  • 46
    • 33845588008 scopus 로고    scopus 로고
    • Shape representation based on integral kernels: Application to image matching and segmentation
    • Hong, B.-W., Prados, E., Soatto, S., Vese, L.: Shape representation based on integral kernels: Application to image matching and segmentation. In: CVPR, vol. 1, pp. 833-840 (2006)
    • (2006) CVPR , vol.1 , pp. 833-840
    • Hong, B.-W.1    Prados, E.2    Soatto, S.3    Vese, L.4
  • 47
    • 27444431807 scopus 로고    scopus 로고
    • PhD thesis, Boston University College of Engineering, Department of Biomedical Engineering, Boston, MA
    • Kaufhold, J.P.: Energy formulations of medical image segmentations. PhD thesis, Boston University College of Engineering, Department of Biomedical Engineering, Boston, MA (2000)
    • (2000) Energy Formulations of Medical Image Segmentations
    • Kaufhold, J.P.1
  • 48
    • 57149141804 scopus 로고    scopus 로고
    • Texture analysis and segmentation using modulation features, generative models and weighted curve evolution
    • to appear
    • Kokkinos, I., Evangelopoulos, G., Maragos, P.: Texture analysis and segmentation using modulation features, generative models and weighted curve evolution. IEEE Trans. Pattern Anal. Mach. Intell. (to appear)
    • IEEE Trans. Pattern Anal. Mach. Intell.
    • Kokkinos, I.1    Evangelopoulos, G.2    Maragos, P.3
  • 49
    • 0029771786 scopus 로고
    • Image interpretation using contextual feedback
    • Lai, G.C., de Figueiredo, R.J.P.: Image interpretation using contextual feedback. In: ICIP, vol. 2, p. 2623 (1995)
    • (1995) ICIP , vol.2 , pp. 2623
    • Lai, G.C.1    De Figueiredo, R.J.P.2
  • 50
    • 0033682441 scopus 로고    scopus 로고
    • Statistical shape influence in geodesic active contours
    • Leventon, M.E., Grimson, E.L., Faugeras, O.D.: Statistical shape influence in geodesic active contours. In: CVPR, pp. 1316-1323 (2000)
    • (2000) CVPR , pp. 1316-1323
    • Leventon, M.E.1    Grimson, E.L.2    Faugeras, O.D.3
  • 51
    • 54549115192 scopus 로고    scopus 로고
    • Context in robotic vision: Control for real-time adaptation
    • Lombardi, P., Cantoni, V., Zavidovique, B.: Context in robotic vision: Control for real-time adaptation. In: ICINCO, vol. 3, pp. 135-142 (2004)
    • (2004) ICINCO , vol.3 , pp. 135-142
    • Lombardi, P.1    Cantoni, V.2    Zavidovique, B.3
  • 53
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: ICCV, vol. 2, pp. 416-423 (2001)
    • (2001) ICCV , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 55
    • 84990602490 scopus 로고
    • Optimal approximations by piecewise smooth functions and associated variational problems
    • 5
    • D. Mumford J. Shah 1989 Optimal approximations by piecewise smooth functions and associated variational problems Commun. Pure Appl. Math. 42 5 577 685
    • (1989) Commun. Pure Appl. Math. , vol.42 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 56
    • 0031250126 scopus 로고    scopus 로고
    • Regularization, scale-space and edge detection filters
    • 4
    • M. Nielsen L. Florack R. Deriche 1997 Regularization, scale-space and edge detection filters J. Math. Imaging Vis. 7 4 291 307
    • (1997) J. Math. Imaging Vis. , vol.7 , pp. 291-307
    • Nielsen, M.1    Florack, L.2    Deriche, R.3
  • 57
    • 1242284980 scopus 로고    scopus 로고
    • A variational approach to remove outliers and impulse noise
    • 1-2
    • M. Nikolova 2004 A variational approach to remove outliers and impulse noise J. Math. Imaging Vis. 20 1-2 99 120
    • (2004) J. Math. Imaging Vis. , vol.20 , pp. 99-120
    • Nikolova, M.1
  • 58
  • 59
    • 0013218383 scopus 로고    scopus 로고
    • Segmentation of MR images using curve evolution and prior information
    • 8
    • H.H. Pien M. Desai J. Shah 1997 Segmentation of MR images using curve evolution and prior information Int. J. Pattern Recognit. Artif. Intell. 11 8 1233 1245
    • (1997) Int. J. Pattern Recognit. Artif. Intell. , vol.11 , pp. 1233-1245
    • Pien, H.H.1    Desai, M.2    Shah, J.3
  • 60
    • 84999114906 scopus 로고
    • Variational segmentation of multi-channel MRI images
    • Pien, H.H., Gauch, J.M.: Variational segmentation of multi-channel MRI images. In: ICIP, vol. 3, pp. 508-512 (1994)
    • (1994) ICIP , vol.3 , pp. 508-512
    • Pien, H.H.1    Gauch, J.M.2
  • 61
    • 27244432259 scopus 로고    scopus 로고
    • Unlevel-sets: Geometry and prior-based segmentation
    • Riklin-Raviv, T.: Kiryati, Sochen, N.A.: Unlevel-sets: geometry and prior-based segmentation. In: ECCV, vol. 4, pp. 50-61 (2004)
    • (2004) ECCV , vol.4 , pp. 50-61
    • Riklin-Raviv, T.1    Kiryati2    Sochen, N.A.3
  • 63
    • 24644467818 scopus 로고    scopus 로고
    • Fields of experts: A framework for learning image priors
    • Roth, S., Black, M.J.: Fields of experts: a framework for learning image priors. In: CVPR, vol. 2, pp. 860-867 (2005)
    • (2005) CVPR , vol.2 , pp. 860-867
    • Roth, S.1    Black, M.J.2
  • 64
    • 0042433488 scopus 로고    scopus 로고
    • Active unsupervised texture segmentation on a diffusion based feature space
    • Rousson, M., Brox, T., Deriche, R.: Active unsupervised texture segmentation on a diffusion based feature space. In: CVPR, vol. 2, pp. 699-704 (2003)
    • (2003) CVPR , vol.2 , pp. 699-704
    • Rousson, M.1    Brox, T.2    Deriche, R.3
  • 65
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • L. Rudin S. Osher E. Fatemi 1992 Nonlinear total variation based noise removal algorithms Physica D 60 259 268
    • (1992) Physica D , vol.60 , pp. 259-268
    • Rudin, L.1    Osher, S.2    Fatemi, E.3
  • 66
    • 0344552332 scopus 로고    scopus 로고
    • Image statistics and anisotropic diffusion
    • Scharr, H., Black, M.J., Haussecker, H.W.: Image statistics and anisotropic diffusion. In: ICCV, vol. 2, pp. 840-847 (2003)
    • (2003) ICCV , vol.2 , pp. 840-847
    • Scharr, H.1    Black, M.J.2    Haussecker, H.W.3
  • 67
    • 0034135395 scopus 로고    scopus 로고
    • Relations between regularization and diffusion filtering
    • 1
    • O. Scherzer J. Weickert 2000 Relations between regularization and diffusion filtering J. Math. Imaging Vis. 12 1 43 63
    • (2000) J. Math. Imaging Vis. , vol.12 , pp. 43-63
    • Scherzer, O.1    Weickert, J.2
  • 70
    • 0026370574 scopus 로고
    • Segmentation by nonlinear diffusion
    • Shah, J.: Segmentation by nonlinear diffusion. In: CVPR, pp. 202-207 (1991)
    • (1991) CVPR , pp. 202-207
    • Shah, J.1
  • 71
    • 0029711076 scopus 로고    scopus 로고
    • A common framework for curve evolution, segmentation and anisotropic diffusion
    • Shah, J.: A common framework for curve evolution, segmentation and anisotropic diffusion. In: CVPR, pp. 136-142 (1996)
    • (1996) CVPR , pp. 136-142
    • Shah, J.1
  • 72
    • 33745893539 scopus 로고    scopus 로고
    • Conditional models for contextual human motion recognition
    • Sminchisescu, C., Kanaujia, A., Li, Z., Metaxas, D.: Conditional models for contextual human motion recognition. In: ICCV, vol. 2, pp. 1808-1815 (2005)
    • (2005) ICCV , vol.2 , pp. 1808-1815
    • Sminchisescu, C.1    Kanaujia, A.2    Li, Z.3    Metaxas, D.4
  • 75
    • 34248566703 scopus 로고    scopus 로고
    • Contour detection based on contextual influences
    • Q. Tang N. Sang T. Zhang 2007 Contour detection based on contextual influences Image Vis. Comput. 25 1282 1290
    • (2007) Image Vis. Comput. , vol.25 , pp. 1282-1290
    • Tang, Q.1    Sang, N.2    Zhang, T.3
  • 76
    • 0031140757 scopus 로고    scopus 로고
    • Extraction of shape skeletons from grayscale images
    • 2
    • S. Tari J. Shah H. Pien 1997 Extraction of shape skeletons from grayscale images Comput. Vis. Image Underst. 66 2 133 146
    • (1997) Comput. Vis. Image Underst. , vol.66 , pp. 133-146
    • Tari, S.1    Shah, J.2    Pien, H.3
  • 77
  • 80
    • 1242265490 scopus 로고    scopus 로고
    • Image denoising and decomposition with total variation minimization and oscillatory functions
    • 1-2
    • L.A. Vese S.J. Osher 2004 Image denoising and decomposition with total variation minimization and oscillatory functions J. Math. Imaging Vis. 20 1-2 7 18
    • (2004) J. Math. Imaging Vis. , vol.20 , pp. 7-18
    • Vese, L.A.1    Osher, S.J.2
  • 81
    • 0032666007 scopus 로고    scopus 로고
    • Coherence-enhancing diffusion filtering
    • 2-3
    • J. Weickert 1999 Coherence-enhancing diffusion filtering Int. J. Comput. Vision 31 2-3 111 127
    • (1999) Int. J. Comput. Vision , vol.31 , pp. 111-127
    • Weickert, J.1
  • 82
    • 0008494528 scopus 로고
    • Determining Lyapunov exponents from a time series
    • A. Wolf J.B. Swift H. Swinney J.A. Vastano 1985 Determining Lyapunov exponents from a time series Physica D 16 285 317
    • (1985) Physica D , vol.16 , pp. 285-317
    • Wolf, A.1    Swift, J.B.2    Swinney, H.3    Vastano, J.A.4
  • 84
    • 46149124028 scopus 로고    scopus 로고
    • Patch-based texture edges and segmentation
    • Wolf, L., Huang, X., Martin, I., Metaxas, D.: Patch-based texture edges and segmentation. In: ECCV, vol. 2, pp. 481-493 (2006)
    • (2006) ECCV , vol.2 , pp. 481-493
    • Wolf, L.1    Huang, X.2    Martin, I.3    Metaxas, D.4
  • 85
    • 34948814577 scopus 로고    scopus 로고
    • Detecting object boundaries using low-, mid-, and high-level information
    • Zheng, S., Tu, Z., Yuille, A.: Detecting object boundaries using low-, mid-, and high-level information. In: CVPR, pp. 1-8 (2007)
    • (2007) CVPR , pp. 1-8
    • Zheng, S.1    Tu, Z.2    Yuille, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.